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Volumetric visual hull reconstruction is easy to be implemented without complicated geometrical computation, but its accuracy and efficiency are still unsatisfactory. An optimized volumetric visual hull reconstruction method is proposed based on CUDA. The voxel intersection judgment procedure and the isosurface extraction procedure are parallelized and implemented using multiple threads of CUDA to...
Recent GPUs, which have many processing units connected with a global memory, can be used for general purpose parallel computation. Users can develop parallel programs running on GPUs using programming architecture called CUDA (Compute Unified Device Architecture). The main contribution of this paper is to implement a Canny edge detection algorithm on CUDA. The experimental result shows that our implementation...
CUDA (compute unified device architecture) is a novel technology of general-purpose computing on the GPU, which makes users develop general GPU (graphics processing unit) programs easily. This paper analyzes the distinct features of CUDA GPU, summarizes the general program mode of CUDA. Furthermore, we implement several classical image processing algorithms by CUDA, such as histogram equalization,...
In this paper, we introduce real time image processing techniques using modern programmable graphic processing units (GPU). GPUs are SIMD (single instruction, multiple data) device that is inherently data-parallel. By utilizing NVIDIA's new GPU programming framework, ldquocompute unified device architecturerdquo (CUDA) as a computational resource, we realize significant acceleration in image processing...
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